Tilman Becker

14 papers and 98 indexed citations i.

About

Tilman Becker is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Tilman Becker has authored 14 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Materials Chemistry. Recurrent topics in Tilman Becker’s work include Natural Language Processing Techniques (11 papers), Speech and dialogue systems (9 papers) and Topic Modeling (6 papers). Tilman Becker is often cited by papers focused on Natural Language Processing Techniques (11 papers), Speech and dialogue systems (9 papers) and Topic Modeling (6 papers). Tilman Becker collaborates with scholars based in Germany, United States and Czechia. Tilman Becker's co-authors include Aravind K. Joshi, Owen Rambow, Peter Poller, Michael Kaißer, Gabriel Murray, Jonathan Kilgour, Steve Renals, Renate Scheibe, Petra Wetzel and Gerolf Gros and has published in prestigious journals such as AJP Cell Physiology, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Tilman Becker i

Fields of papers citing papers by Tilman Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tilman Becker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tilman Becker. The network helps show where Tilman Becker may publish in the future.

Countries citing papers authored by Tilman Becker

Since Specialization
Citations

This map shows the geographic impact of Tilman Becker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tilman Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tilman Becker more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025